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module. The fix should be good for Python >= 2.4 and used the following sed script:
s/\<failUnless\>/assertTrue/g
s/\<failIf\>/assertFalse/g
s/\<failUnlessEqual\>/assertEqual/g
s/\<failUnlessRaises\>/assertRaises/g
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* _Domained/MaskedUnary/BinaryOperations: optimization by preventing the use of np.where and the calculation of domain.
Here's the catch: we're basically cheating. We force np.seterr(divide='ignore',invalid='ignore') before computing the results, then mask the invalid values (if any) and reset the corresponding entries in .data to the input. Finally, we reset the error status. This playing around with the error status may (or may not) fail in multi-thread. It's still faaar faster than computing the domain (especially _DomainSafeDivide) when the inputs are large...
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: * fixed some corner cases of view
mrecords : * fixed view
: * got rid of _fieldmask for _mask
: * WARNING: setting ._mask no longer calls __setmask__ : BE CAREFUL.
: * prevent setting ._mask directly, as it screws up things: use .mask instead
test_subclassing : * clean up
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Added numpy.testing.run_module_suite to simplify "if __name__ == '__main__'" boilerplate code in test
modules.
Removed numpy/testing/pkgtester.py since it just consisted of an import statement after porting SciPy r4424.
Allow numpy.*.test() to accept the old keyword arguments (but issue a deprecation warning when old arguments
are seen).
numpy.*.test() returns a test result object as before.
Fixed typo in distutils doc.
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modules.
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